# Reddit Search V1 — Posts, Subreddits & Users (3 endpoints) (`red_crawler/reddit-search`) Actor Search Reddit for posts, subreddits, or users with filters for sort, time, and subreddit scope. No Reddit account or OAuth required. - **URL**: https://apify.com/red\_crawler/reddit-search.md - **Developed by:** [Red Crawler](https://apify.com/red_crawler) (community) - **Categories:** Lead generation, SEO tools, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Reddit Search — Posts, Subreddits & Users Search Reddit and get back fully-structured results. Three result types — posts, subreddits, or users — with sort, time-window, and subreddit-scope filters. **No Reddit account, OAuth, or proxy required.** Pick what you want to find, type your query, hit Start. --- ### What you can fetch This actor mirrors Reddit's native search across three result types. Choose the type, type your query, optionally narrow with filters. #### 1. Posts Reddit posts matching the query. Supports sort, time window, and subreddit scope. **Inputs:** - **Query** — full-text search string. Reddit's search syntax is supported: - `wordpress` — basic keyword - `"exact phrase"` — exact match - `wordpress -plugin` — exclude a term - `flair:"Help needed"` — restrict by flair - `author:username` — by author - `selftext:typescript` — match in post body - **Restrict to subreddit** *(optional)* — subreddit name without the `r/` prefix. Scopes the search to one community. - **Sort** — `relevance` (default), `hot`, `top`, `new`, `comments` (most-discussed). - **Time filter** *(optional)* — `hour` / `day` / `week` / `month` / `year` / `all`. Leave as `—` to use Reddit's default window. - **Limit** — 1 to 250 (default 25). **Returns per post:** Reddit ID, fullname, title, body / selftext, author, subreddit, score, ups / downs / upvote ratio, comment count, crosspost count, created + edited timestamps, permalink, external URL, domain, post-type flags (`is_self`, `is_video`, `over_18`, `spoiler`, `locked`, `stickied`, `pinned`, `archived`), distinguished status, removal category, link & author flair, thumbnail, media (images / video / gallery), awards. **Use it when:** brand monitoring (mentions of your product), trend discovery (`top` over `week` / `month`), competitor research, content discovery for a niche. #### 2. Subreddits Subreddit communities matching the query. **Inputs:** - **Query** — search string (subreddit names + descriptions). - **Limit** — 1 to 250. **Returns per subreddit:** ID, fullname, display name (raw + prefixed), title, subscriber count, active user count, public + full description, created timestamp, language, type (public / private / restricted), NSFW flag, URL, header / icon / banner images, primary + key colors, submit text, allowed submission types (videos / images / polls / galleries). **Use it when:** discovering communities for a topic before you post, building niche directories, finding the right place to advertise. **Note:** Sort, time filter, and subreddit scope are ignored for this type — Reddit returns subreddit results in its own default order. #### 3. Users Reddit user accounts matching the query. **Inputs:** - **Query** — search string (matched against usernames + profiles). - **Restrict to subreddit** *(optional)* — only return users active in that subreddit. - **Limit** — 1 to 250. **Returns per user:** ID, name, total karma split into post / comment / award / awardee karma, account creation timestamp, employee / mod / Reddit-Gold / verified / verified-email flags, profile icon, snoovatar image, mini subreddit info, accept-followers flag. **Use it when:** finding influencers in a niche, brand accounts, lead generation, mapping who's active in a community. **Note:** Sort and time filter are ignored for this type. --- ### How to run 1. **Pick the search type** — Posts, Subreddits, or Users. 2. **Enter your query.** 3. **Optionally narrow** with subreddit scope (Posts / Users), sort + time (Posts only), or limit. 4. **Click Start.** --- ### Output Results are pushed to the actor's default dataset, **one record per result**. View as a table or download as JSON / CSV / Excel / XML. Every record is tagged with a `result_kind` field (`post`, `subreddit`, or `user`) so you can tell them apart at a glance and route them downstream. The most useful columns are placed first (id, title / name, score / subscribers / karma, created date, etc.) so the dataset Table view is readable without scrolling. --- ### Common edge cases - **Safe Search is always ON.** NSFW results are filtered out at the source — there is no toggle. If you need NSFW search results, use **Reddit Search V2** which has a `safe_search` toggle. - **Hard cap of ~250 results.** Reddit's search index returns at most ~250 unique items per query, regardless of how high you set `limit`. - **One run = one search.** For multiple queries, kick off separate runs (or use the Apify scheduler / API). - **Private subreddits / quarantined content** — not searchable from anonymous calls. - **Empty results** — return zero records. The actor reports an empty result rather than failing. - **Sort + time filter on non-Post types** — silently ignored. Reddit ranks subreddit / user results in its own order. --- ### Why this actor is fast - **Speed — 1–3 seconds per call, end-to-end.** Pure HTTP to Reddit's API. No browser to boot, no Playwright / Selenium / Puppeteer overhead. Competing browser-based scrapers typically take 15–60 seconds per call. - **Reliability — zero browser flakiness.** No headless-Chromium crashes. No JS-render timeouts. No captcha pages. No surprise mid-run failures from a browser quirk. - **Footprint — under 100 MB RAM per run.** Most browser-based scrapers need 1–4 GB. We're a thin async dispatcher — Reddit auth, proxy rotation, retry, and GraphQL handling all happen off-actor on our backend. --- ### Pricing Pay-per-result. You're only charged for records actually pushed to the dataset — failed runs, validation errors, and empty results cost nothing. See the actor's pricing tab for the current per-result rate. --- ### Need a different shape of data? - **Reddit Search V2** — adds comment / media / topic search, NSFW toggle, comment search (`triangular_triangle/reddit-search-v2`). - **Reddit Scraper V2** — 15 single & bulk reads for posts, comments, profiles, communities (`triangular_triangle/reddit-scrape-v2`). - **Reddit Scraper** — pull a subreddit's feed, a post's comments, or a single post / comment by URL (`triangular_triangle/reddit-content-fetcher`). - **Reddit Bulk Scrape** — paste up to 1500 IDs / names / URLs in a single run (`triangular_triangle/reddit-bulk-scrape`). - **Reddit Users** / **Reddit Users V2** — single-user lookups with profile + trophies + posts + comments (`triangular_triangle/reddit-users`, `triangular_triangle/reddit-users-v2`). - **Reddit Subreddits** — about / rules / sidebar / popular-feed / autocomplete (`triangular_triangle/reddit-subreddits`). - **Reddit Posts** — front-page feed, crosspost duplicates, pinned posts (`triangular_triangle/reddit-posts`). - **Reddit Wiki, Emojis & Widgets** — wiki pages, custom emojis, sidebar widgets (`triangular_triangle/reddit-wiki-emojis-widgets`). # Actor input Schema ## `search_type` (type: `string`): What kind of result to return. ## `search_query` (type: `string`): What to search for. ## `search_subreddit` (type: `string`): Subreddit name without r/ prefix. Used only when search type is 'posts' or 'users'. Ignored for 'subreddits'. ## `search_sort` (type: `string`): Sort order — IGNORED unless search type = posts. ## `search_time_filter` (type: `string`): Time window — IGNORED unless search type = posts. Leave as '—' to skip. ## `search_limit` (type: `integer`): Max results to return (1–250). ## Actor input object example ```json { "search_type": "posts", "search_query": "wordpress", "search_sort": "relevance", "search_time_filter": "", "search_limit": 25 } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "search_type": "posts", "search_query": "wordpress" }; // Run the Actor and wait for it to finish const run = await client.actor("red_crawler/reddit-search").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "search_type": "posts", "search_query": "wordpress", } # Run the Actor and wait for it to finish run = client.actor("red_crawler/reddit-search").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "search_type": "posts", "search_query": "wordpress" }' | apify call red_crawler/reddit-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=red_crawler/reddit-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Search V1 — Posts, Subreddits & Users (3 endpoints)", "description": "Search Reddit for posts, subreddits, or users with filters for sort, time, and subreddit scope. No Reddit account or OAuth required.", "version": "0.7", "x-build-id": "8wS53YW4fgfyFzf6K" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/red_crawler~reddit-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-red_crawler-reddit-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/red_crawler~reddit-search/runs": { "post": { "operationId": "runs-sync-red_crawler-reddit-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/red_crawler~reddit-search/run-sync": { "post": { "operationId": "run-sync-red_crawler-reddit-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "search_type", "search_query" ], "properties": { "search_type": { "title": "Search type", "enum": [ "posts", "subreddits", "users" ], "type": "string", "description": "What kind of result to return.", "default": "posts" }, "search_query": { "title": "Search query", "type": "string", "description": "What to search for." }, "search_subreddit": { "title": "Restrict to subreddit (optional)", "pattern": "^[A-Za-z0-9_]{1,50}$", "type": "string", "description": "Subreddit name without r/ prefix. Used only when search type is 'posts' or 'users'. Ignored for 'subreddits'." }, "search_sort": { "title": "Sort (only for type = posts)", "enum": [ "relevance", "hot", "top", "new", "comments" ], "type": "string", "description": "Sort order — IGNORED unless search type = posts.", "default": "relevance" }, "search_time_filter": { "title": "Time filter (only for type = posts)", "enum": [ "", "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time window — IGNORED unless search type = posts. Leave as '—' to skip.", "default": "" }, "search_limit": { "title": "Limit", "minimum": 1, "maximum": 250, "type": "integer", "description": "Max results to return (1–250).", "default": 25 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```